Sr Director , Data Engineering

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

We are seeking an exceptional Senior Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the data strategy and execution of design, development, and optimization of USPD data products. This role will define and drive the strategic vision for data engineering across various USPD while managing large-scale data operations built on modern data stack. This role involves collaborating with stakeholders to align data capabilities with business objectives and overseeing data governance, security, and best practices.  The successful candidate will combine deep technical expertise with proven leadership capabilities to deliver high-impact data solutions that power critical business decisions across our USPD portfolio.

1. Strategic Leadership

• Develop and execute comprehensive data engineering strategy aligned with business goals and digital transformation initiatives, identifying opportunities to leverage data for competitive advantage  

• Partner with executives, business leaders, and technology stakeholders to define data architecture vision and roadmap

• Drive innovation in data engineering practices, emerging technologies, and platform capabilities to maintain competitive advantage

• Establish data engineering standards, best practices, and governance frameworks across the organization

2. Technical Excellence

• Design, build, and maintain scalable and secure data platforms leveraging Microsoft Azure ecosystem, ensuring efficient data ingestion, transformation, and storage. 

• Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics

• Design and implement robust data pipelines supporting petabyte-scale data ingestion, transformation, and distribution

• Ensure data platform security, compliance, and performance optimization across all environments

3. Organizational Leadership

• Build, mentor, and lead a high-performing team of Data Engineering Directors, and technical specialists

• Collaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions

• Establish talent development programs, technical career progression paths, and engineering excellence initiatives

• Foster culture of innovation, continuous learning, and technical excellence within the data engineering organization

4. Operational Excellence

• Lead delivery of USPD data engineering products development in alignment with USPD DI Operations uptime, optimal performance, and cost efficiency

• Implement comprehensive monitoring, alerting, and incident response capabilities for mission-critical data systems

• Partner with Enterprise Data Platform team to implement automation initiatives and DevOps practices to enhance deployment speed and operational reliability

• Manage technology budgets, vendor relationships, and strategic partnerships to optimize total cost of ownership

5. USPD Domain Expertise

• Deep understanding of Pharmaceutical BuySide/Sellside concepts, contract data, core distribution models, and pharmaceutical/specialty pharma operations, and customer management.

• Understanding Supply Chain, Manufacturer and enterprise data products

Minimum Qualifications

Master’s in engineering & science or Equivalent experience. Typically requires 15+ years of professional experience and 10+ years of management experience.

Business Experience

• Proven success leading digital transformation and complex technology initiatives.

• Demonstrated ability to build and scale enterprise-grade data engineering organizations.

• Experience with P&L responsibility, budget management, and technology ROI optimization

• Strong understanding of enterprise data governance, regulatory complianc